Theory

NN4SysBench: Characterizing Neural Network Verification for Computer Systems NeurIPS 2024 Non-asymptotic Convergence of Training Transformers for Next-token Prediction NeurIPS 2024 Nonlinear dynamics of localization in neural receptive fields NeurIPS 2024 Nonlinear spiked covariance matrices and signal propagation in deep neural networks COLT 2024 Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks NeurIPS 2024 One-Layer Transformer Provably Learns One-Nearest Neighbor In Context NeurIPS 2024 On Feature Learning in Structured State Space Models NeurIPS 2024 Only Strict Saddles in the Energy Landscape of Predictive Coding Networks? NeurIPS 2024 On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability NeurIPS 2024 On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models NeurIPS 2024 On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks JMLR 2024 On the Empirical Complexity of Reasoning and Planning in LLMs EMNLP 2024 On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory NeurIPS 2024 On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks ICLR 2024 On the Sparsity of the Strong Lottery Ticket Hypothesis NeurIPS 2024 Optimal deep learning of holomorphic operators between Banach spaces NeurIPS 2024 Optimization Can Learn Johnson Lindenstrauss Embeddings NeurIPS 2024 Overparametrized Multi-layer Neural Networks: Uniform Concentration of Neural Tangent Kernel and Convergence of Stochastic Gradient Descent JMLR 2024 P^2C^2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics NeurIPS 2024 Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent NeurIPS 2024 PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion AAAI 2024 Polyhedral Complex Derivation from Piecewise Trilinear Networks NeurIPS 2024 Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms NeurIPS 2024 Provable Robustness against a Union of L_0 Adversarial Attacks AAAI 2024 Provable Tempered Overfitting of Minimal Nets and Typical Nets NeurIPS 2024